[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

PCOS is a highly prevalent disease in modern women of gestational age, characterized by infertility. Prevention before onset has been a key focus of national efforts in recent years. This article explored the prevention and treatment plan for polycystic ovary syndrome based on the three-level prevention theory of Academician Wang Qi. Primary prevention: control pathogenic risk factors; secondary prevention: precise screening and life intervention to prevent the formation of dangerous constitution; third level prevention: differentiation of body-differentiation of disease-differentiation of syndrome to achieve the goal of three-level prevention. In the prevention and treatment of PCOS, pre-disease prevention, post disease prevention and cure are tried to achieve, which could provide a truly effective, easy to operate, and applicable three-level prevention and treatment plan for a large population in clinical response to PCOS.

Objectives To enhance occupational safety for medical practitioners involved in acupuncture procedures within the field of Chinese medicine,it is imperative to thoroughly investigate and analyze the current incidence of accidental punctures.Subsequently,effective strategies can be proposed to prevent such occurrences.Methods Through retrospective analysis,this study investigates the occupational exposure data of a tertiary hospital specializing in traditional Chinese medicine from 2020 to 2022.The demographic characteristics(age and gender),professional experience,occupational category,pre-service training,type of acupuncture tools used,puncture session details,and exposure sources of the individuals involved are collected and organized for analyzing the risk factors asso-ciated with accidental needlestick injuries.Corresponding preventive measures are proposed accordingly.Results In this survey,a total of 5 069 medical staff from 12 clinical departments were included,among whom 63 experienced accidental puncture with an incidence rate of 1.24%(63/5 069).The likelihood of puncture was found to be signifi-cantly higher in individuals aged between 25～30 years compared to those under the age of 25(OR=18.556,P＜0.05).Similarly,the probability of puncture was also higher in individuals aged over 30 years compared to those under the age of 25(OR=14.311,P＜0.05).Conversely,individuals with at least three years of experience had a lower probability of experiencing punctures compared to those with less than three years(OR=0.025,P＜0.05).Furthermore,interns exhibited a higher likelihood of puncture incidents compared to physicians(OR=2.212,P＜0.05).Regarding the puncture session,the highest probability of occurrence is 58.73%at the time of needle removal(χ2=106.222,P＜0.05).Regarding the type of acupuncture tools,acupuncture needles have the highest probability of occurrence at 41.27%(χ2=45.095,P＜0.05).Concerning the exposure source,"unknown exposure source"has the highest preva-lence at 42.86%(χ2=57.476,P＜0.05),while"exposure source is hepatitis B patient"accounts for 20.63%(χ2=57.476,P＜0.05).Regarding pre-service training,individuals who have received pre-service training exhibit a higher likelihood of puncture incidents(69.84%)(χ2=38.000,P＜0.05).Conclusions The serological status of patients should be obtained in advance,and strict adherence to infection prevention control measures such as"standard precau-tions"and"contact isolation"is necessary.Effective pre-service training must be implemented,with particular atten-tion given to the risk of puncture when using specialized acupuncture tools for occupational safety.

AIM: To investigate the regulatory effects of silybin on hepatic lipid metabolism in mice with non -alcoholic steatohepatitis (NASH) induced by high - fat and high-cholesterol (HFHD) diet. METHODS: Mice were fed a HFHD diet to construct a NASH model, and serum levels of triacylglycerol (TAG), total cholesterol (T-CHO), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were measured using biochemical kits. H&E staining and oil red O staining were used to detect histopathological changes in the liver. Lipidomics was used to detect the alterations of hepatic lipid metabolism in NASH mice. RESULTS: Silybin significantly inhibited the increase of body weight, liver weight and abdominal fat, decreased serum T-CHO, TAG and LDL-C levels, improved hepatic lipid droplet accumulation and ballooning degeneration, and back-regulated hepatic palmitoleic acid (C16: 1) and polyunsaturated long-chain fatty acids (PUFAs) in NASH mice. CONCLUSION: Silybin possibly reduced hepatic lipid accumulation and lipotoxicity by modulating abnormal hepatic lipid metabolism in mice induced by HFHC diet.

ObjectiveTo explore the mechanism of Danggui Niantongtang （DGNTT） against adjuvant-induced arthritis （AA） in rats with wind-dampness-heat arthralgia （FSR） based on the variation of intestinal flora. MethodA total of 60 SD rats were randomized into normal （control） group， FSR group， low-， medium-， and high-dose DGNTT （5.67， 11.34， 22.68 g·kg^-1） groups， and methotrexate （MTX） group （1.35 mg·kg^-1）， with 10 rats in each group. The rats， except the control group， were injected with Mtb adjuvant and then exposed to artificial climatic chamber （hot and humid with wind） for 64 h for modeling. The rats were treated with water， DGNTT or MTX for 28 days from the day of injection. Arthritis index （AI） of rats was measured and paw volume was determined with a volume meter. The morphology of synovial tissues of the knees was observed based on hematoxylin-eosin （HE） staining and the changes of intestinal flora were analyzed based on 16S rRNA sequencing. ResultDGNTT can alleviate the hyperplasia of synovial tissue and inflammation of AA rats with FSR and inhibit the formation of pannus. The results of 16S rRNA sequencing showed that the relative abundance of Firmicutes， Lactobacillus， Prevotella 9， and Alloprevotella decreased （P<0.05， P<0.01） and the relative abundance of Bacteroidetes and Bacteroides increased （P<0.01） in FSR group compared those in the control group. Compared with the FSR group， all DGNTT groups and MTX group had high relative abundance of Lactobacillus （P<0.05， P<0.01） and low relative abundance of Bacteroidetes （P<0.01） and medium-dose and high-dose DGNTT groups and MTX group showed high abundance of Firmicutes， Prevotella 9， and Alloprevotella and low abundance of Bacteroides （P<0.05， P<0.01）. Spearman's correlation analysis suggested that the abundance of Bacteroides and Helicobacter was in positive correlation with AI （P<0.05）， while the abundance of Prevotella 9 and Candidatus Saccharimonas was in negative correlation with AI （P<0.01， P<0.05）. There was a negative correlation between the abundance of Prevotella 9 and paw volume （P<0.01）， and the abundance of Ruminococcaceae NK4A214 group， Christensenellaceae R-7 group， and Bacteroides was in negative correlation with spleen index （P<0.05）. The abundance of Prevotella 9 was in negative correlation with spleen index （P<0.01）. ConclusionDGNTT is effective for arthritis with FSR， as it can regulate the composition of intestinal flora in AA rats by increasing the abundance of probiotics and inhibiting the growth of pathogenic bacteria. The mechanism is the likelihood that it improves intestinal immune metabolism to ensure intestinal homeostasis.

【Objective】 To explore the effectiveness of PDCA (Plan-Do-Check-Act Cycle Management) in clinical emergency blood management. 【Methods】 The data of emergency blood-using cases from January 2021 to June 2022 in each clinical department of our hospital were collected to observe the blood matching time, blood retrieving time, and emergency bloodusing rate. They were divided into PDCA experimental group (Experimental group, July to December 2021, n=287), pre-PDCA experimental group (Control group 1, January to June 2021, n=516) and post-PDCA experimental cessation group (Control group 2, January to June 2022, n=277). Subgroup analysis was performed according to different departments, which were Internal Medicine Department, Surgery Depatment, and ICU. The situation of non-emergency blood use occupying emergency lanes in the pre-implementation period was continuously improved using PDCA, and the differences in blood matching time, blood retrieving time, and emergency blood-using rate among the three groups were compared and analyzed by Kruskal-Wallis test and chi-square test. 【Results】 The blood matching time and blood retrieving time (M, min) in the experimental group, control group 1 and control group 2 were 19.00 vs 45.50 vs 23.00 and 22.00 vs 44.00 vs 25.00, respectively (P< 0.05), and were 19.00 vs 47.00 vs 24.00 and 23.00 vs 56.00 vs 30. 50 in Internal Medicine Department, 18.00 vs 57.50 vs 14.00 and 32.00 vs 41.00 vs 24.00 in Surgery Department, 20.00 vs 42.00 vs 23.00 and 16.50 vs 34.00 vs 12.50 in ICU (P<0.05). The rate of emergency blood use in the experimental group, control group 1, and control group 2 were 6.9%(287/4 141) vs 11.0%(516/4 689) vs 6.8%(277/4 089), respectively (P< 0.05), and were 6.3%(175/2 769) vs 11.8% (297/2 512) vs 6.7% (186/2 789) in Internal Medicine Department, 5.9%(24/405) vs 3.6 %(44/1 213) vs 7.4% (37/501) in Surgery Department, and 9.1% (88/967) vs 18% (175/973) vs 6.8%(54/799) in ICU (P<0.05). 【Conclusion】 The adoption of PDCA in Blood Transfusion Department can effectively shorten the blood matching time and blood retrieving time for clinical emergencies and improve the success rate of emergency blood transfusion.

【Objective】 To observe the effect of platelet transfusion in inpatients with haematological diseases, analyze the possible causes of platelet transfusion refractoriness (PTR), in order to further improve the efficacy of platelet transfusion. 【Methods】 A total of 310 patients with blood disease in our hospital from August 2020 to November 2021 who received platelet transfusion were retrospectively analyzed. Possible influencing factors of platelet transfusion, including gender, age, platelet preservation time, number of platelet transfusions, complication and red blood cell product transfusion were analyzed. 【Results】 Patients were divided into effective group and refractory group according to percentage platelet recovery (PPR) and corrected count increment (CCI). PTR was defined as PPR <20% or CCI <5 000 after two consecutive transfusions in 24 h or clinical bleeding symptoms or tendency not significantly controlled. Statistical differences were noticed between the two groups in terms of gender, pretransfusion white blood cell count, anemia, and whether antibiotics were used (P<0.05). The type of disease, gender, anemia and number of comorbidities were associated with PTR. The incidence of PTR was the highest in patients with myelodysplastic syndrome, and the incidence of PTR was higher in men than in women. Transfusion units of suspended red blood cells and the number of comorbidities were negatively correlated with the transfusion efficacy (P<0.05). 【Conclusion】 Possible influencing factors of platelet transfusion included the level of white blood cells before transfusion, use of antibiotics, anemia and transfusion of red blood cells, number of comorbidities, and type of disease, while no significant differences were found in age, hemolysis, hypersplenism, platelet preservation time, and number of platelet transfusions on transfusion efficacy.

Objective:To investigate the establishment and application value of a radio-mics prediction model for lymph node metastasis of gallbladder carcinoma based on dual-phase enhanced computed tomography (CT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 194 patients with gallbladder carcinoma who were admitted to the First Affiliated Hospital of Xi'an Jiaotong University from January 2012 to December 2020 were collected. There were 70 males and 124 females, aged (64±10)years. All patients underwent curative-intent resection of gallbladder carcinoma. A total of 194 patients were randomly divided into 156 cases in training set and 38 cases in test set according to the ratio of 8:2 based on random number method in R software. The training set was used to establish a diagnostic model, and the test set was used to validate the diagnostic model. After the patients undergoing CT examination, image analysis was performed, radiomics features were extracted, and a radiomics model was established. Based on clinicopathological data, a nomogram prediction model was established. Observation indicators: (1) lymph node dissection and histopathological examination results; (2) establishment and characteristic analysis of a radiomics prediction model; (3) analysis of influencing factors for lymph node metastasis of gallbladder carcinoma; (4) establishment of a nomogram prediction model for lymph node metastasis; (5) comparison of the predictive ability between the radiomics prediction model and nomogram prediction model for lymph node metastasis. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were expressed as absolute numbers, and comparison between groups was performed by the chi-square test. Univariate analysis was conducted by the chi-square test, and multivariate analysis was performed by the Logistic regression model forward method. The receiver operating characteristic curve was drawn, and the area under curve, decision curve, confusion matrix were used to evaluate the predictive ability of prediction models. Results:(1) Lymph node dissection and histopathological examination results. Of the 194 patients, 182 cases underwent lymph node dissection, with the number of lymph node dissected as 8(range, 1?34) per person and the number of positive lymph node as 0(range, 0?11) per person. Postoperative histopathological examination results of 194 patients: 122 patients were in stage N0, with the number of lymph node dissected as 7(range, 0?27) per person, 48 patients were in stage N1, with the number of lymph node dissected as 8(range, 2?34) per person and the number of positive lymph node as 1(range, 1?3) per person, 24 patients were in stage N2, with the number of lymph node dissected as 11(range, 2?20) per person and the number of positive lymph node as 5(range, 4?11) per person. (2) Establishment and characteristic analysis of a radiomics prediction model. There were 107 radiomics features extracted from 194 patients, including 18 first-order features, 14 shape features and 75 texture features. According to the intra-group correlation coefficient and absolute median difference of each radiomics feature, mutual information, Select K-Best, least absolute shrinkage and selection operator regression were conducted to further reduce dimensionality. By further combining 5 different machine learning algorithms including random forest, gradient boosting secession tree, support vector machine (SVM), K-Nearest Neighbors and Logistic regression, the result showed that the Select K-Best_SVM model had the best predictive performance after analysis, with the area under receiver operating characteristic curve as 0.76 in the test set. (3) Analysis of influencing factors for lymph node metastasis of gallbladder carcinoma. Results of univariate analysis showed that systemic inflammation response index, carcinoembryonic antigen (CEA), CA19-9, CA125, radiological T staging and radiological lymph node status were related factors for lymph node metastasis of patients with gallbladder cancer ( χ2=4.20, 11.39, 5.68, 11.79, 10.83, 18.58, P<0.05). Results of multivariate analysis showed that carcinoembryonic antigen, CA125, radiological T staging (stage T3 versus stage T1?2, stage T4 versus stage T1?2), radiological lymph node status were independent influencing factors for lymph node metastasis of patients with gallbladder carcinoma [ hazard ratio=2.79, 4.41, 5.62, 5.84, 3.99, 95% confidence interval ( CI) as 1.20?6.47, 1.81?10.74, 1.50?21.01, 1.02?33.31, 1.87?8.55, P<0.05]. (4) Establishment of a nomogram prediction model for lymph node metastasis. A nomogram prediction model was established based on the 4 independent influencing factors for lymph node metastasis of gallbladder carcinoma, including CEA, CA125, radiological T staging and radiological lymph node status. The concordance index of the nomogram model was 0.77 (95% CI as 0.75?0.79) in the training set and 0.73 (95% CI as 0.68?0.72) in the test set, respectively. (5) Comparison of the predictive ability between the radiomics predic-tion model and nomogram prediction model for lymph node metastasis. The receiver operating characteristic curve showed that the areas under the curve of Select K-Best_SVM radiomics model were 0.75 (95% CI as 0.74?0.76) in the training set and 0.76 (95% CI as 0.75?0.78) in the test set, respectively. The areas under the curve of nomogram prediction model were 0.77 (95% CI as 0.76?0.78) in the training set and 0.70 (95% CI as 0.68?0.72) in the test set, respectively. The decision curve analysis showed that Select K-Best_SVM radiomics model and nomogram prediction model had a similar ability to predict lymph node metastasis. The confusion matrix showed that Select K-Best_SVM radiomics model had the sensitivity as 64.29% and 75.00%, the specificity as 73.00% and 59.09% in the training set and test set, respectively. The nomogram had the sensitivity as 51.79% and 50.00%, the specificity as 80.00% and 72.27% in the training set and test set, respectively. Conclusion:A dual-phase enhanced CT imaging radiomics prediction model for lymph node metastasis of gallbladder carcinoma is successfully established, and its predictive ability is good and consistent with that of nomogram.

Objective:To explore one-stage total knee arthroplasty (TKA) combined with open reduction and internal fixation (ORIF) for knee osteoarthritis complicated with tibial stress fracture.Methods:The 3 patients were retrospectively analyzed who had been treated for knee osteoarthritis complicated with tibial stress fracture at Department of Orthopedics, Ganzhou District People＇s Hospital from March 2018 to March 2020. They were all female, aged from 54 to 76 years (average, 66 years). There were 2 transverse fractures and one short oblique fracture; all of them had knee varus deformity. The Hospital for Special Surgery (HSS) scores averaged 37.6 (from 28 to 50) for the left knee and 28.3 (from 22 to 39) for the right knee. One-stage TKA was performed for the articular surface while ORIF for the right tibial stress fracture for all patients. Recorded were fracture union time, HSS knee score and range of articular motion.Results:The 3 patients were followed up for 25 to 44 months (average, 32 months).The fracture union time ranged from 4 to 7 months (average, 5 months). The last follow-ups revealed no such complications as prosthesis loosening, peri-prosthesis osteolysis or joint instability. Knee varus deformity was corrected in all patients. The HSS knee scores at the last follow-up averaged 89.6 (from 88 to 91) for the left knee and 88.3 (from 85 to 90) for the right knee.Conclusion:In the treatment of knee osteoarthritis complicated with tibial stress fracture, one-stage TKA combined with ORIF can restore the function of knee joint, leading to fine curative effects.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.